Evidence map›Paper›PMID 39130961›Full record

ArticleCureus2024

Differences in Risk Factors for Rotator Cuff Tears in Young Versus Old Individuals.

MaKenzie Chambers, Puvin Dhurairaj, Aditya Joshi, Manisha Koneru, Pietro M Gentile, Catherine Fedorka

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

MaKenzie ChambersOrthopedics, Cooper Medical School of Rowan University, Camden, USA.
Puvin DhurairajOrthopedics, Cooper University Hospital, Camden, USA.
Aditya JoshiOrthopedics, Cooper Medical School of Rowan University, Camden, USA.
Manisha KoneruNeurointerventional Surgery, Cooper Medical School of Rowan University, Camden, USA.
Pietro M GentileRheumatology, Cooper University Health Care, Camden, USA.
Catherine FedorkaOrthopedics, Cooper University Hospital, Camden, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The etiology of rotator cuff tears is thought to be multifactorial with current literature that varies with regard to identifiable risk factors. The purpose of this retrospective review was to identify risk factors for full-thickness rotator cuff tears and determine whether they differ in young versus older individuals. Methods To determine the presence or absence of a rotator cuff tear, 1,561 patients with a shoulder MRI were reviewed. If a tear was present, it was further classified into a partial or full-thickness tear. Demographic variables and clinical data were collected and analyzed with a two-sided Student's t-test or Wilcoxon rank sum test for continuous variables and a Chi-square test or Fisher's exact test for categorical variables. Age and BMI were dichotomized using receiver operator curves. Results Charlson Comorbidity Index, age, BMI, sex, race, and work status were all factors that variably affected a patient's risk of experiencing a rotator cuff tear, with different factors carrying more influence on outcomes within those who are older versus those who are younger. Gender and race were found to differ as risk factors between young and older individuals. Conclusion We were able to identify risk factors overall associated with increased odds of sustaining a full-thickness rotator cuff tear. Our analyses also showed differences in the effect of gender and race as risk factors between young and older patients with rotator cuff tears. This finding may aid clinicians in counseling patients on more specific risks for their given age.

Indexed as

agebmifull thicknessrisk factorrotator cuff tear

Identifiers

PMID39130961
PMCPMC11315362

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.